{"id":"W3198136273","doi":"10.22323/1.387.0039","title":"Event-plane decorrelation of photons produced in the early stage of heavy-ion collisions","year":2021,"lang":"en","type":"article","venue":"Proceedings of 10th International Conference on Hard and Electromagnetic Probes of High-Energy Nuclear Collisions — PoS(HardProbes2020)","topic":"High-Energy Particle Collisions Research","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; National Energy Research Scientific Computing Center; U.S. Department of Energy; Office of Science; National Science Foundation","keywords":"Decorrelation; Physics; Photon; Heavy ion; Anisotropy; Hadron; Event (particle physics); Nuclear physics; Plane (geometry); Momentum (technical analysis); Ion; Astrophysics; Quantum mechanics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004862132,0.0002948238,0.0006037289,0.0004376503,0.0001468528,0.00009201955,0.0007205739,0.0001184032,0.0006790386],"category_scores_gemma":[0.0002181117,0.000247343,0.000165518,0.0009747804,0.0002725265,0.00032402,0.0002390703,0.0003497013,0.00000559541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004615673,"about_ca_system_score_gemma":0.0003290449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009526087,"about_ca_topic_score_gemma":0.00003010851,"domain_scores_codex":[0.9969492,0.00009027766,0.001040403,0.0005697652,0.0009633619,0.0003869743],"domain_scores_gemma":[0.9970735,0.0001994312,0.0005992274,0.0003100249,0.001697142,0.0001206318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004746705,0.0009015247,0.006312374,0.00007680706,0.0001042914,0.000002878996,0.0005208973,0.0005400438,0.3481157,0.6423568,0.0001956537,0.0003983755],"study_design_scores_gemma":[0.003664154,0.004318795,0.04514403,0.001229157,0.0001439587,0.000020561,0.002882314,0.03299879,0.8976678,0.0098497,0.001443567,0.0006371645],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933236,0.0000803874,0.00007849826,0.0009830382,0.0001028226,0.0004278211,0.0002926356,0.00001500916,0.004696238],"genre_scores_gemma":[0.9965752,0.000268758,0.001889875,0.00001199134,0.00005215664,0.00007516822,0.00007684622,0.00003306535,0.001016889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6325071,"threshold_uncertainty_score":0.9999979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0158220499331404,"score_gpt":0.2593222440269159,"score_spread":0.2435001940937755,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}